1 /*
2 * Copyright (c) 2019-2021 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "arm_compute/runtime/NEON/functions/NEInstanceNormalizationLayer.h"
25
26 #include "arm_compute/core/Helpers.h"
27 #include "arm_compute/core/KernelDescriptors.h"
28 #include "arm_compute/runtime/NEON/NEScheduler.h"
29 #include "src/common/utils/Log.h"
30 #include "src/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h"
31
32 namespace arm_compute
33 {
34 NEInstanceNormalizationLayer::~NEInstanceNormalizationLayer() = default;
35
NEInstanceNormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager)36 NEInstanceNormalizationLayer::NEInstanceNormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager)
37 : _memory_group(std::move(memory_manager)), _normalization_kernel(), _is_nchw(false), _permute_input(), _permute_output(), _permuted_input(), _permuted_output()
38 {
39 }
40
configure(ITensor * input,ITensor * output,float gamma,float beta,float epsilon)41 void NEInstanceNormalizationLayer::configure(ITensor *input, ITensor *output, float gamma, float beta, float epsilon)
42 {
43 ARM_COMPUTE_LOG_PARAMS(input, output, gamma, beta, epsilon);
44
45 const DataLayout data_layout = input->info()->data_layout();
46 const auto kernel_descriptor = InstanceNormalizationLayerKernelInfo{ gamma, beta, epsilon, true };
47
48 // Configure Kernels
49 _is_nchw = data_layout == DataLayout::NCHW;
50
51 _normalization_kernel = std::make_unique<NEInstanceNormalizationLayerKernel>();
52
53 if(!_is_nchw)
54 {
55 _memory_group.manage(&_permuted_input);
56 _memory_group.manage(&_permuted_output);
57
58 // Configure the function to transform the input tensor from NHWC -> NCHW
59 _permute_input.configure(input, &_permuted_input, PermutationVector(1U, 2U, 0U));
60 _permuted_input.info()->set_data_layout(DataLayout::NCHW);
61
62 _normalization_kernel->configure(&_permuted_input, &_permuted_output, kernel_descriptor);
63 _permuted_output.info()->set_data_layout(DataLayout::NCHW);
64
65 _permute_output.configure(&_permuted_output, output != nullptr ? output : input, PermutationVector(2U, 0U, 1U));
66 _permuted_input.allocator()->allocate();
67 _permuted_output.allocator()->allocate();
68 }
69 else
70 {
71 _normalization_kernel->configure(input, output, kernel_descriptor);
72 }
73 }
74
validate(const ITensorInfo * input,const ITensorInfo * output,float gamma,float beta,float epsilon)75 Status NEInstanceNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, float gamma, float beta, float epsilon)
76 {
77 return NEInstanceNormalizationLayerKernel::validate(&input->clone()->set_data_layout(DataLayout::NCHW),
78 &output->clone()->set_data_layout(DataLayout::NCHW),
79 InstanceNormalizationLayerKernelInfo{ gamma, beta, epsilon, true });
80 }
81
run()82 void NEInstanceNormalizationLayer::run()
83 {
84 MemoryGroupResourceScope scope_mg(_memory_group);
85
86 // Permute input
87 if(!_is_nchw)
88 {
89 _permute_input.run();
90 }
91
92 NEScheduler::get().schedule(_normalization_kernel.get(), Window::DimZ);
93
94 // Permute output
95 if(!_is_nchw)
96 {
97 _permute_output.run();
98 }
99 }
100 } // namespace arm_compute
101